101 to 125 of 143 Pandas Jobs

machine learning, natural language processing, and/or generative AI Preferred Qualifications: Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python Strong computer science fundamentals, including experience writing unit tests Experience working with LLMs and shipping LLM-powered applications to production ...

machine learning, natural language processing, and/or generative AI Preferred Qualifications: Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python Strong computer science fundamentals, including experience writing unit tests Experience working with LLMs and shipping LLM-powered applications to production ...

machine learning, natural language processing, and/or generative AI Preferred Qualifications: Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python Strong computer science fundamentals, including experience writing unit tests Experience working with LLMs and shipping LLM-powered applications to production ...

production. Experience with adversarial testing, red-teaming, and risk assessment for AI deployments. Strong data science fundamentals, including SQL, Python data frames (e.g., pandas), and data visualization. Experience writing unit tests and building robust data pipelines. Demonstrated business domain knowledge related to financial products. We welcome applicants from diverse backgrounds ...

production. Experience with adversarial testing, red-teaming, and risk assessment for AI deployments. Strong data science fundamentals, including SQL, Python data frames (e.g., pandas), and data visualization. Experience writing unit tests and building robust data pipelines. Demonstrated business domain knowledge related to financial products. We welcome applicants from diverse backgrounds ...

production. Experience with adversarial testing, red-teaming, and risk assessment for AI deployments. Strong data science fundamentals, including SQL, Python data frames (e.g., pandas), and data visualization. Experience writing unit tests and building robust data pipelines. Demonstrated business domain knowledge related to financial products. We welcome applicants from diverse backgrounds ...

production. Experience with adversarial testing, red-teaming, and risk assessment for AI deployments. Strong data science fundamentals, including SQL, Python data frames (e.g., pandas), and data visualization. Experience writing unit tests and building robust data pipelines. Demonstrated business domain knowledge related to financial products. We welcome applicants from diverse backgrounds ...

communication skills with ability to translate data into business insights Desirable Fintech or financial services experience (payments, FX, risk, or treasury) Python experience (e.g. pandas, automation, modelling) Experience with financial metrics (revenue, forecasting, unit economics) Strong commercial mindset and attention to data accuracy What’s on Offer Competitive salary ...

experience: Strong experience as a Data Engineer Advanced Python and SQL skills Experience with cloud platforms (AWS preferred) Proficiency in PySpark and/or Pandas Familiarity with data quality tools (e.g., Great Expectations) Experience with infrastructure as code (Terraform or CloudFormation) Understanding of modern development best practices and agile methodologies ...

building data pipelines, research platforms or ML workflows Strong understanding of statistics, linear models & model evaluation techniques Experience with the Python data stack (NumPy, Pandas, etc.) and ML libraries Familiarity with tools such as PyTorch, TensorFlow, JAX, Plotly, Altair Experience working with large datasets and performance-sensitive systems Strong problem ...

FastAPI. Work with Python web frameworks such as Flask, Django, FastAPI, and Jinja2. Data, Analytics & Databases Perform data manipulation and analysis using tools like Pandas and NumPy. Design, query, and maintain both relational databases (e.g., PostgreSQL) and NoSQL/document stores (e.g., MongoDB). Build data pipelines and support analytics ...

years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment If you would like ...

years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile ...

delivered accurately and reliably. Key skills & Requirements: Essential 2-5 years’ experience in data engineering or a similar production-focused role Strong Python (Pandas) and SQL skills Experience building and maintaining data pipelines Hands-on experience with Spark, Databricks or Delta Lake/Lakehouse architectures Familiarity with cloud data platforms ...

supporting the development of a new AI-driven underwriting platform being built in partnership with a software provider. You’ll work extensively with Python (pandas, numpy) and SQL, transforming unstructured data into structured, decision-ready insights, and helping integrate broker data via API. The team is small and high-impact. ...

systems. Strong programming experience in Python Experience within the following technologies is desirable - Apache Spark, Apache Airflow, Kafka, Elasticsearch/Open Search, PostgreSQL, MongoDB, Pandas, Polars About the Package £100k - £110k on the base ...

major energy hubs (e.g., TTF, JKM) and cross-commodity linkage Solid understanding of feature engineering, statistical modelling, and ML workflows Strong Python skills (e.g., pandas, NumPy, Jupyter) Strong analytical thinking with the ability to simplify complex concepts If this sounds like a good fit, apply now! Senior Technical Business Analyst ...

additional exposure Any experience with the following would be beneficial: Statistical inference and research using large datasets Linux, bash, and version control SQL and Pandas Networking, low-latency systems, or distributed platforms What’s on offer Generous bonus Private healthcare Pension Life assurance Long-term disability cover A genuinely stimulating ...

maintain Python code for data processing, API development, and integration with the Azure Databricks environment. Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). Collaborate with cross-functional teams to build and enhance banking applications Work closely with UI/UX Designers to integrate visualizations seamlessly into ...

team capability building Technical Stack Core: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Gen2 SQL Server Databricks Enhancements: Python (PySpark, Pandas) CI/CD (Azure DevOps) Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Desirable: Microsoft Fabric Delta Live Tables Power BI dataset automation DataOps practices ...

team capability building Technical Stack Core: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Gen2 SQL Server Databricks Enhancements: Python (PySpark, Pandas) CI/CD (Azure DevOps) Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Desirable: Microsoft Fabric Delta Live Tables Power BI dataset automation DataOps practices ...

maintain Python code for data processing, API development, and integration with the Azure Databricks environment. Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). Collaborate with cross-functional teams to build and enhance banking applications Work closely with UI/UX Designers to integrate visualizations seamlessly into ...

transforming it for ingestion into systems such as a lakehouse or other operational platforms (e.g. Sage 200). Experience analysing data using Python (Pandas, NumPy) will also be required to support legacy reporting. Experience in monitoring, troubleshooting, and resolving production data issues as they arise. Experience in challenging and refining ...

both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable ...

Python Developer, NumPy, Pandas, COR7433B This is a great time for a junior-to-mid-level Python Developer, to consider joining an established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will be joining a dedicated R&D team that leverage machine and deep learning … monitoring of deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark ...